Liquid state machine built of Hodgkin-Huxley neurons-pattern recognition and informational entropy

Wiesław A. Kamiński, Grzegorz M. Wójcik

Abstract


Neural networks built of Hodgkin-Huxley neurons are examined. Such structures behave like Liquid State Machines. They can effectively process geometrical patterns shown to artificial retina into precisely defined output. The analysis of output responses is performed in two ways: by means of Artificial Neural Network and by calculating informational entropy.

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DOI: http://dx.doi.org/10.17951/ai.2003.1.1.1-7
Date of publication: 2015-01-04 00:00:00
Date of submission: 2016-04-27 10:10:07


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